Elahe Rahimian

According to our database, Elahe Rahimian authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Multi-content time-series popularity prediction with Multiple-model Transformers in MEC networks.

Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Ming Hou, Elahe Rahimian, Shahin Heidarian, Jamshid Abouei, Konstantinos N. Plataniotis

Ad Hoc Networks, 2024

2023

Light-Weight CNN-Attention Based Architecture Trained with a Hybrid Objective Function for EMG-Based Human Machine Interfaces.

Soheil Zabihi, Elahe Rahimian, Amir Asif, Svetlana N. Yanushkevich, Arash Mohammadi

Trans. Comput. Sci., 2023

Light-Weight CNN-Attention Based Architecture for Hand Gesture Recognition Via Electromyography.

Soheil Zabihi, Elahe Rahimian, Amir Asif, Arash Mohammadi

Proceedings of the IEEE International Conference on Acoustics, 2023

HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information.

Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Hamid Alinejad-Rokny, Arash Mohammadi

Proceedings of the IEEE International Conference on Acoustics, 2023

DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning.

Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel Leivas Oliveira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains.

Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Svetlana N. Yanushkevich, Arash Mohammadi

CoRR, 2022

Light-weighted CNN-Attention based architecture for Hand Gesture Recognition via ElectroMyography.

Soheil Zabihi, Elahe Rahimian, Amir Asif, Arash Mohammadi

CoRR, 2022

TraHGR: Transformer for Hand Gesture Recognition via ElectroMyography.

Soheil Zabihi, Elahe Rahimian, Amir Asif, Arash Mohammadi

CoRR, 2022

BP-Net: Cuff-less and non-invasive blood pressure estimation via a generic deep convolutional architecture.

Soheil Zabihi, Elahe Rahimian, Fatemeh Marefat, Amir Asif, Pedram Mohseni, Arash Mohammadi

Biomed. Signal Process. Control., 2022

TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks.

Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Elahe Rahimian, Shahin Heidarian, Jamshid Abouei, Konstantinos N. Plataniotis

Proceedings of the IEEE International Conference on Communications, 2022

Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism.

Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, Seyed Farokh Atashzar, Arash Mohammadi

Proceedings of the IEEE International Conference on Acoustics, 2022

ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals.

Mansooreh Montazerin, Soheil Zabihi, Elahe Rahimian, Arash Mohammadi, Farnoosh Naderkhani

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture.

Soheil Zabihi, Elahe Rahimian, Fatemeh Marefat, Amir Asif, Pedram Mohseni, Arash Mohammadi

CoRR, 2021

Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis.

Soheil Zabihi, Elahe Rahimian, Soumya Sharma, Sean K. Sethi, Sara Gharabaghi, Amir Asif, E. Mark Haacke, Mandar S. Jog, Arash Mohammadi

CoRR, 2021

TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition.

Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, Seyed Farokh Atashzar, Arash Mohammadi

CoRR, 2021

SepUnet: Depthwise Separable Convolution Integrated U-Net For MRI Reconstruction.

Soheil Zabihi, Elahe Rahimian, Amir Asif, Arash Mohammadi

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture Recognition.

Elahe Rahimian, Soheil Zabihi, Amir Asif, Seyed Farokh Atashzar, Arash Mohammadi

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Surface EMG-Based Hand Gesture Recognition via Hybrid and Dilated Deep Neural Network Architectures for Neurorobotic Prostheses.

Elahe Rahimian, Soheil Zabihi, Seyed Farokh Atashzar, Amir Asif, Arash Mohammadi

J. Medical Robotics Res., 2020

FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography.

Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, Seyed Farokh Atashzar, Arash Mohammadi

CoRR, 2020

XceptionTime: Independent Time-Window Xceptiontime Architecture for Hand Gesture Classification.

Elahe Rahimian, Soheil Zabihi, Seyed Farokh Atashzar, Amir Asif, Arash Mohammadi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Hybrid Deep Neural Networks for Sparse Surface EMG-Based Hand Gesture Recognition.

Elahe Rahimian, Soheil Zabihi, Amir Asif, Arash Mohammadi

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification.

Elahe Rahimian, Soheil Zabihi, Seyed Farokh Atashzar, Amir Asif, Arash Mohammadi

CoRR, 2019

Semg-Based Hand Gesture Recognition Via Dilated Convolutional Neural Networks.

Elahe Rahimian, Soheil Zabihi, Seyed Farokh Atashzar, Amir Asif, Arash Mohammadi

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

Digital Implementation of the Two-Compartmental Pinsky-Rinzel Pyramidal Neuron Model.

Elahe Rahimian, Soheil Zabihi, Mahmood Amiri, Bernabé Linares-Barranco

IEEE Trans. Biomed. Circuits Syst., 2018